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Related Experiment Video

Updated: Jun 27, 2026

Monochrome Multiplex Quantitative PCR Telomere Length Measurement
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Published on: March 22, 2024

Can Time Determine Preanalytical Quality? A Temporal Analysis of Specimen Rejection Rates.

Bağnu Dündar1, Betül Özbek1, Fatma Bozkurt2

  • 1Department of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, 34403 Istanbul, Türkiye.

Journal of Clinical Medicine
|June 26, 2026
PubMed
Summary

Preanalytical specimen rejection rates significantly vary by time of day, with the highest rates occurring early morning (04:00-08:00). This study highlights time as an independent factor influencing preanalytical quality and identifies specific error patterns for targeted interventions.

Keywords:
hemolysislaboratory errorspatient safetypreanalytical phasequality indicatorsspecimen rejectiontime factor

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Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
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Published on: September 16, 2012

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Published on: September 16, 2012

Area of Science:

  • Clinical Laboratory Science
  • Quality Management in Healthcare
  • Medical Diagnostics

Background:

  • Preanalytical errors are a major source of laboratory incidents, threatening test result reliability.
  • Time-dependent variability of preanalytical errors is understudied, despite its potential impact on quality.

Purpose of the Study:

  • To evaluate intraday variations in preanalytical specimen rejection rates.
  • To assess the independent influence of time of day on preanalytical quality.

Main Methods:

  • Retrospective observational study of 579,845 specimens (Jan 2024 - Dec 2025).
  • Analysis of rejection reasons, clinical unit distribution, and time of day (six 4-hour intervals).
  • Statistical analysis using Pearson chi-square and negative binomial regression.

Main Results:

  • Overall rejection rate was 0.79%, with significant intraday variation (p < 0.001).
  • Highest rejection rate (1.98%) in Z2 (04:00-08:00); lowest (0.45%) in Z3 (08:00-12:00).
  • Z2 was independently associated with increased rejection risk (IRR=1.63). Hemolysis and clotted specimens were primary error types.

Conclusions:

  • Preanalytical rejection rates vary significantly by time, clinical unit, and error type, with time being an independent factor.
  • Non-linear relationship between workload and error frequency observed, with elevated risk in Z2 and low rates in Z3.
  • Time-based monitoring is crucial for identifying unit-specific risks and implementing targeted quality improvements.